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CVIU
2004
96views more  CVIU 2004»
15 years 6 months ago
Image matching with scale adjustment
In this paper we address the problem of matching two images with two different resolutions: a high-resolution image and a low-resolution one. The difference in resolution between ...
Yves Dufournaud, Cordelia Schmid, Radu Horaud
IJCV
2000
225views more  IJCV 2000»
15 years 6 months ago
Depth from Defocus vs. Stereo: How Different Really Are They?
Depth from Focus (DFF) and Depth from Defocus (DFD) methods are theoretically unified with the geometric triangulation principle. Fundamentally, the depth sensitivities of DFF and ...
Yoav Y. Schechner, Nahum Kiryati
SIAMCO
2002
87views more  SIAMCO 2002»
15 years 6 months ago
Optimal Consumption and Portfolio with Both Fixed and Proportional Transaction Costs
We consider a market model with one riskfree and one risky asset, in which the dynamics of the risky asset is governed by a geometric Brownian motion. In this market we consider a...
Bernt Oksendal, Agnès Sulem
SIGPRO
2010
293views more  SIGPRO 2010»
15 years 5 months ago
Image denoising by bounded block matching and 3D filtering
The block-matching with 3D transform domain collaborative filtering (BM3D) achieves very good performance in image denoising. However, BM3D becomes ineffective when an image is h...
Qian Chen, Dapeng Wu
BMVC
2010
15 years 4 months ago
Three-step image rectification
Image stereo-rectification is the process by which two images of the same solid scene undergo homographic transforms, so that their corresponding epipolar lines coincide and becom...
Pascal Monasse, Jean-Michel Morel, Zhongwei Tang